The power of personas: Exploring an innovative model for understanding stakeholder perspectives in an oncology learning health network by Dylan J. Cooper, Jessie Karten, Sarah E. Hoffe, Daniel A. King, Matthew Weiss, Danielle K. DePeralta, Andrew L. Coveler, Sunil R. Hingorani, Tracey Shefter, Cheryl Meguid, Hannah Roberts, Theodore S. Hong, Amol Narang, Amy Hacker‐Prietz, George A. Fisher, Jay Sandler, Laurie Singer, Bobby Korah, William Hoos, Carrie T. Stricker, Joseph M. Herman

“…Abstract Introduction Learning health networks (LHNs) improve clinical outcomes by applying core tenets of continuous quality improvements (QI) to reach community‐defined outcomes, data‐sharing, and empowered interdisciplinary teams including patients and caregivers. …”
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Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…These include improving research quality, fostering greater international and inter-institutional collaboration, standardizing data-sharing practices, and addressing ethical and legal concerns. …”
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Using Laboratory Test Results for Surveillance During a New Outbreak of Acute Hepatitis in 3-Week- to 5-Year-Old Children in the United Kingdom, the Netherlands, Ireland, and Curaç... by Maaike C Swets, Steven R Kerr, Brian MacKenna, Louis Fisher, Merel van Wijnen, Diederik Brandwagt, Paul W Schenk, Pieter Fraaij, Leonardus G Visser, Sebastian Bacon, Amir Mehrkar, Alistair Nichol, Patrick Twomey, Philippa C Matthews, Malcolm G Semple, Geert H Groeneveld, Ben Goldacre, Iain Jones, J Kenneth Baillie

“…Federated analytics using nondisclosive, summary-level laboratory data sharing was successful, safe, and efficient. The approach holds potential as a tool for pandemic surveillance in future outbreaks. …”
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Development and application of intelligent auxiliary diagnosis system in the Traditional Chinese Medicine nursing clinic (智能辅诊系统在中医护理门诊中的开发与应用)... by ZHANG Jing (张敬), TANG Ling (唐玲)

“…In order to further simplify the treatment process, solve existing problems, increase data sharing, and promote the communication and cooperation between medical staff and patients, our hospital has developed an intelligent auxiliary diagnosis system through the integration of "Internet + technology" and TCM nursing. …”
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Advances and Prospects in Smart Border Studies Based on a Bibliometric Analysis by Yang Danxuan, Li Cansong, Hu Wei, Lai Zulan, Ge Xurui

“…A smart border management model with Chinese characteristics should be constructed, emphasizing data sharing, technological interoperability, and coordination and cooperation among all parties. …”
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The Use of Social Network in Daily Pediatric Practice and Education: Turkish Pediatric Atelier by Erdem Gönüllü, Ahmet Soysal, İlkay Can, Ercan Tutak, Turan Tunç, İsmail Yıldız, Osman Yeşilbaş, Naci Öner, Ali Anarat, Feryal Gün Soysal, Cengiz Bayram, Mehmet Cihan Balcı, Emine Betül Tavil, Teoman Akçay, Metin Karaböcüoğlu

“…Registry name, registration number, web link to study on registry, and data sharing statement.…”
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Harnessing Big Heterogeneous Data to Evaluate the Potential Impact of HIV Responses Among Key Populations in Sub-Saharan Africa: Protocol for the Boloka Data Repository Initiative by Refilwe Nancy Phaswana Mafuya, Edith Phalane, Amrita Rao, Kalai Willis, Katherine Rucinski, K Alida Voet, Amal Abdulrahman, Claris Siyamayambo, Betty Sebati, Mohlago Seloka, Musa Jaiteh, Lerato Lucia Olifant, Katharine Journeay, Haley Sisel, Xiaoming Li, Bankole Olatosi, Neset Hikmet, Prashant Duhoon, Francois Wolmarans, Yegnanew A Shiferaw, Lifutso Motsieloa, Mashudu Rampilo, Stefan Baral

“…A list of current and potential data partners has been compiled (January 2023 to date). Data sharing or user agreements have been signed with several data partners (August 2023 to date). …”
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The Complete Inpatient Record Using Comprehensive Electronic Data (CIRCE) project: A team‐based approach to clinically validated, research‐ready electronic health record data by Andrea L. C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin, Michael G. S. Shashaty, Todd A. Miano, Daniel S. Herman, Oscar J. L. Mitchell, Rachel Bennett, Alexander T. Moffett, John Chandler, Atul Kalanuria, Zahra Faraji, Nicholas S. Bishop, Benjamin Schmid, Angela T. Chen, Kathryn H. Bowles, Thomas Joseph, Rachel Kohn, Rachel R. Kelz, George L. Anesi, Monisha Kumar, Ari B. Friedman, Emily Vail, Nuala J. Meyer, Blanca E. Himes, Gary E. Weissman

“…Conclusions The CIRCE Project represents a novel cooperative research model to capture clinically validated EHR data from a large diverse academic health system in the greater Philadelphia region and is designed to facilitate collaboration and data sharing to support learning health system activities. …”
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L’involution géographique : des données géosociales aux algorithmes by Teriitutea Quesnot

“…Geolocated data shared on the social web arouse geographers’ interest. …”
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Open Source Data and Strategic Project for Resilient City by Cristina Càndito, Manuel Gausa, Matilde Pitanti, Giulia Sola

“…In the research field, an experimental analysis is carried out within the Genoese neighborhood of Molassana by comparing and processing, in a single system, the traditional cartography provided by the online portals of the public administration and the data shared by users on social networks and open source platforms. …”
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Improve the robustness of algorithm under adversarial environment by moving target defense by Kang HE, Yuefei ZHU, Long LIU, Bin LU, Bin LIU

“…Traditional machine learning models works in peace environment,assuming that training data and test data share the same distribution.However,the hypothesis does not hold in areas like malicious document detection.The enemy attacks the classification algorithm by modifying the test samples so that the well-constructed malicious samples can escape the detection by machine learning models.To improve the security of machine learning algorithms,moving target defense (MTD) based method was proposed to enhance the robustness.Experimental results show that the proposed method could effectively resist the evasion attack to detection algorithm by dynamic transformation in the stages of algorithm model,feature selection and result output.…”
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AONT-and-NTRU-based rekeying scheme for encrypted deduplication by Chunfu JIA, Guanxiong HA, Shaoqiang WU, Hang CHEN, Ruiqi LI

“…Rekeying is a good way to protect against key exposure.Most of the existing encrypted deduplication systems are implemented based on message-locked-encryption, in which multiple users with the identical data share the same encryption key.When a user updates keys, that update must be followed by all other data owners, which will incur large computational and communicational overheads.To solve this problem, an AONT-and-NTRU-based rekeying scheme was proposed, a variant of AONT was designed to solve the synchronization problem of multi-user rekeying, and a proxy re-encryption algorithm based on NTRU was introduced to reduce the communicational overhead for the system and computational overhead for clients during rekeying.The efficiency analysis and experimental results show that the proposed scheme has better encryption and decryption efficiency than existing schemes and the time cost of rekeying is significantly reduced.…”
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Design of federated routing mechanism in cross-domain scenario by Peizhuang CONG, Yuchao ZHANG, Ye TIAN, Wendong WANG, Dan LI

“…With the development of multi-network integration,how to ensure efficient interconnections among multiple independent network domains is becoming a key problem.Traditional interdomain routing protocol fails due to the limitation of domain information privacy,where each autonomous domain doesn’t share any specific intra-domain information.A machine learning-based federated routing mechanism was proposed to overcome the existing shortcomings.Each autonomous domain shares intra-domain information implicitly via neural network models and parameters.It not only breaks data islands problems but also greatly reduces the amount of transmitted data shared between domains,then decreases convergence delay of entire network information.Based on the federated routing mechanism,border routers can formulate global optimal routing strategies according to the status of entire network.…”
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Interpretative phenomenological analysis of guidance advocates’ online counseling experiences by Amabel Tangco-Siason, Rex S. Paulino

“…Among these variables are: (i) discourse that mirrors the exchanges between a counselor and a client; (ii) framework, which includes OC dynamics and changing communication requirements; and (iii) learner autonomy, which stands for the involvement of clients in online learning.DiscussionA community-based framework for developing students is formed by these variables. The data shared by participants reveal complex issues as they struggle with the limitations and realities of applying standards in multimodal counseling sessions. …”
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Assessment of relationships between epigenetic age acceleration and multiple sclerosis: a bidirectional mendelian randomization study by Hongwei Liu, Hanqing Zhang, Zhaoxu Yin, Miaomiao Hou

“…Methods This analysis employed statistics approaches from genome-wide association studies related to various epigenetic clocks (GrimAge, HannumAge, PhenoAge, and HorvathAge) and multiple sclerosis, utilizing robust instrumental variables from the Edinburgh DataShare (n = 34,710) and the International Multiple Sclerosis Genetics Consortium (including 24,091 controls and 14,498 cases). …”
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Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks by Yongli Tang, Menghao Guo, Binyong Li, Kaixin Geng, Jinxia Yu, Baodong Qin

“…Currently, most quantum homomorphic encryption (QHE) schemes only allow a single evaluator (server) to accomplish computation tasks on encrypted data shared by the data owner (user). In addition, the quantum computing capability of the evaluator and the scope of quantum computation it can perform are usually somewhat limited, which significantly reduces the flexibility of the scheme in quantum network environments. …”
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Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review by Dmitry A Scherbakov, Nina C Hubig, Leslie A Lenert, Alexander V Alekseyenko, Jihad S Obeid

“…This review can be a starting point for researchers looking for an overview of mental health projects using text data. Shared datasets could be used to place more emphasis on SDOH in future studies.…”
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